Use cases · Claude control plane
Your control planefor Claude.
Connect tools, secure every interaction, distribute access by team, and observe usage and spend. One platform to govern Claude across your organization.
Gateway · Policy line
Live489
Sessions
4,412
Tool calls
12
Blocked
01 · The problem
Claude adoption is outpacing enterprise control
- How does it roll out?
- Employees stand up Claude accounts one by one. No central place to approve tools, push updates, or give everyone the same vetted setup
- Who sees the usage?
- Once Claude is connected, no shared view of what actions run, who runs them, or what data moves through
- What does it cost?
- Token spend climbs across teams with no budgets or limits. Costs surface on the invoice, long after the usage that drove them
- How does it roll out?
- One vetted catalog of tools, provisioned team by team through your IdP
- Who sees the usage?
- Every session, tool call, and permission change in one searchable audit trail
- What does it cost?
- Budgets per team, enforced in real time, with every token attributed to a named employee
Speakeasy's AI control plane has been indispensable in enabling Fivetran's AI transformation.

Eli Davis
Fivetran
02 · The control plane
Build your control plane for Claude
Speakeasy sits between Claude and every system it touches. Connect tools, secure every interaction, distribute access by team, and observe usage and spend from one platform.
- 1. Connect
- Pre-built catalog: Salesforce, Slack, HubSpot
- Internal APIs from an OpenAPI spec
- Credentials vaulted, never exposed to the model
03 · Proven at scale
From zero to company-wide in days
Fermat made Claude the operating system for their entire company using the Speakeasy AI control plane. These are the numbers.
Read the Fermat story100%
Employee adoption
Every Fermat employee works through governed Claude access.
2
Days to rollout
From first connection to company-wide access.
+500%
MoM growth in AI usage
Usage grew after the rollout instead of being throttled by it.
Every agent
One control plane for every agent
Teams rarely settle on a single agent. The same rollout, oversight, and cost controls apply across Anthropic, OpenAI, Google, and the agents your teams build themselves.
The MCP server we built using Speakeasy just works. It made becoming AI-native much simpler than we expected.

Constantine Nathanson
Staff Software Engineer, Cloudinary
Questions